On Imperfect Recall in Multi-Agent Influence Diagrams. - James Fox; Matt MacDermott; Lewis Hammond; Paul Harrenstein; Alessandro Abate; Michael J. Wooldridge (TARK, 2023)

Characterising Decision Theories with Mechanised Causal Graphs. - Matt MacDermott; Tom Everitt; Francesco Belardinelli (CoRR, 2023)

Discovering agents. - Zachary Kenton; Ramana Kumar; Sebastian Farquhar; Jonathan Richens; Matt MacDermott; Tom Everitt (Artif. Intell., 2023)

Discovering Agents (Abstract Reprint). - Zachary Kenton; Ramana Kumar; Sebastian Farquhar; Jonathan Richens; Matt MacDermott; Tom Everitt (AAAI, 2024)

The Reasons that Agents Act: Intention and Instrumental Goals. - Francis Rhys Ward; Matt MacDermott; Francesco Belardinelli; Francesca Toni; Tom Everitt (AAMAS, 2024)

Measuring Goal-Directedness. - Matt MacDermott; James Fox; Francesco Belardinelli; Tom Everitt (NeurIPS, 2024)

Can a Bayesian Oracle Prevent Harm from an Agent? - Yoshua Bengio; Michael K. Cohen; Nikolay Malkin; Matt MacDermott; Damiano Fornasiere; Pietro Greiner; Younesse Kaddar (UAI, 2025)

Superintelligent Agents Pose Catastrophic Risks: Can Scientist AI Offer a Safer Path? - Yoshua Bengio; Michael K. Cohen; Damiano Fornasiere; Joumana Ghosn; Pietro Greiner; Matt MacDermott; Sören Mindermann; Adam Oberman; Jesse Richardson; Oliver Richardson; Marc-Antoine Rondeau; Pierre-Luc St-Charles; et al. (CoRR, 2025)